likelihood_marginalized_closure_phase Class Reference

Defines a class that constructs a marginalized closure phase likelihood object. More...

#include "likelihood/likelihood_marginalized_closure_phase.h"

Inheritance diagram for likelihood_marginalized_closure_phase:

Collaboration diagram for likelihood_marginalized_closure_phase:

Public Member Functions
	likelihood_marginalized_closure_phase (data_closure_phase &data, model_closure_phase &model, double sigma_phi)
virtual double	operator() (std::vector< double > &x)
	Returns the log-likelihood of a vector of parameters \( \mathbf{x} \).
virtual double	chi_squared (std::vector< double > &x)
	Returns the \( \chi^2 \) of a vector of parameters \( \mathbf{x} \).
double	get_marginalized_phi () const
	This functions gets the marginalized closure phase$.
double	get_maximizing_phi () const
	This functions gets the marginalized closure phase$.
virtual void	set_mpi_communicator (MPI_Comm comm)
Public Member Functions inherited from likelihood_base
virtual std::vector< double >	gradient (std::vector< double > &x, prior &Pr)
void	output_model_data_comparison (std::ostream &out)
void	output_model_data_comparison (std::string filename)

Protected Member Functions
virtual void	output (std::ostream &out)

Private Member Functions
double	angle_difference (double a, double b) const

Private Attributes
data_closure_phase &	_data
model_closure_phase &	_model
const double	_sigma_phi
double	_phiMarg
double	_phiMax

Additional Inherited Members
Protected Attributes inherited from likelihood_base
MPI_Comm	_comm

Detailed Description

This class takes a closure phase data object and a closure phase model object, and then returns the log likelihood. by direct comparison to the observational data assuming that the measured closure phase data has Gaussian errors.

This class also includes an utility function for computing the \( \chi^2 \) to assess fit quality

Member Function Documentation

void output ( std::ostream &  out )

protectedvirtual

Outputs the data and model, as modified by the likelihood appropriately, to the specified output stream. Useful for comparison later.

Reimplemented from likelihood_base.

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void set_mpi_communicator ( MPI_Comm  comm )

virtual

Defines a set of processors provided to the model for parallel computation via an MPI communicator. Only facilates code parallelization if the model computation is parallelized via MPI.

Reimplemented from likelihood_base.

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The documentation for this class was generated from the following files:

• likelihood/likelihood_marginalized_closure_phase.h
• likelihood/likelihood_marginalized_closure_phase.cpp